Overview

Dataset statistics

Number of variables	29
Number of observations	144482
Missing cells	141395
Missing cells (%)	3.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	54.8 MiB
Average record size in memory	397.5 B

Variable types

Numeric	14
Categorical	13
Text	2

Alerts

`STATENAME` has a high cardinality: 51 distinct values	High cardinality
`FUNC_SYS` is highly overall correlated with `FUNC_SYSNAME` and 2 other fields	High correlation
`FUNC_SYSNAME` is highly overall correlated with `FUNC_SYS` and 1 other fields	High correlation
`MAN_COLL` is highly overall correlated with `MAN_COLLNAME` and 3 other fields	High correlation
`MAN_COLLNAME` is highly overall correlated with `MAN_COLL`	High correlation
`PERMVIT` is highly overall correlated with `MAN_COLL` and 2 other fields	High correlation
`PERNOTMVIT` is highly overall correlated with `WRK_ZONENAME`	High correlation
`ROUTE` is highly overall correlated with `FUNC_SYS`	High correlation
`RUR_URBNAME` is highly overall correlated with `FUNC_SYS` and 1 other fields	High correlation
`STATENAME` is highly overall correlated with `ST_CASE`	High correlation
`ST_CASE` is highly overall correlated with `STATENAME`	High correlation
`VE_FORMS` is highly overall correlated with `MAN_COLL` and 2 other fields	High correlation
`VE_TOTAL` is highly overall correlated with `MAN_COLL` and 2 other fields	High correlation
`WRK_ZONENAME` is highly overall correlated with `PERNOTMVIT`	High correlation
`RELJCT2NAME` is highly imbalanced (57.5%)	Imbalance
`RUR_URBNAME` is highly imbalanced (56.0%)	Imbalance
`TYP_INTNAME` is highly imbalanced (66.9%)	Imbalance
`REL_ROADNAME` is highly imbalanced (60.5%)	Imbalance
`SCH_BUSNAME` is highly imbalanced (97.1%)	Imbalance
`WEATHERNAME` is highly imbalanced (60.6%)	Imbalance
`WRK_ZONENAME` has 141395 (97.9%) missing values	Missing
`PERNOTMVIT` has 111306 (77.0%) zeros	Zeros
`PVH_INVL` has 140430 (97.2%) zeros	Zeros
`HOUR` has 5671 (3.9%) zeros	Zeros
`MINUTE` has 6865 (4.8%) zeros	Zeros
`MAN_COLL` has 87097 (60.3%) zeros	Zeros
`ROUTE` has 3519 (2.4%) zeros	Zeros

Reproduction

Analysis started	2025-12-06 17:11:25.255651
Analysis finished	2025-12-06 17:11:50.634376
Duration	25.38 seconds
Software version	ydata-profiling vv4.18.0
Download configuration	config.json

ST_CASE
Real number (ℝ)

High correlation

Distinct	40979
Distinct (%)	28.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	272164.45

Minimum	10001
Maximum	560121
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	705.6 KiB

Quantile statistics

Minimum	10001
5-th percentile	40885.05
Q1	121848.25
median	260876
Q3	420573.75
95-th percentile	510551.95
Maximum	560121
Range	550120
Interquartile range (IQR)	298725.5

Descriptive statistics

Standard deviation	164589.56
Coefficient of variation (CV)	0.60474305
Kurtosis	-1.4036824
Mean	272164.45
Median Absolute Deviation (MAD)	140166
Skewness	0.05347714
Sum	3.9322864 × 10¹⁰
Variance	2.7089724 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
560101	4	< 0.1%
560100	4	< 0.1%
560099	4	< 0.1%
560098	4	< 0.1%
560096	4	< 0.1%
560095	4	< 0.1%
560094	4	< 0.1%
560093	4	< 0.1%
560092	4	< 0.1%
560090	4	< 0.1%
Other values (40969)	144442	> 99.9%

Value	Count	Frequency (%)
10001	4	< 0.1%
10002	4	< 0.1%
10003	4	< 0.1%
10004	4	< 0.1%
10005	4	< 0.1%
10006	4	< 0.1%
10007	4	< 0.1%
10008	4	< 0.1%
10009	4	< 0.1%
10010	4	< 0.1%

Value	Count	Frequency (%)
560121	2	< 0.1%
560120	2	< 0.1%
560119	2	< 0.1%
560118	3	< 0.1%
560117	3	< 0.1%
560116	3	< 0.1%
560115	3	< 0.1%
560114	3	< 0.1%
560113	3	< 0.1%
560112	3	< 0.1%

STATENAME
Categorical

High cardinality High correlation

Distinct	51
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	146.2 KiB

California	14857
Texas	14447
Florida	12367
Georgia	5954
North Carolina	5629
Other values (46)	91228

Length

Max length	20
Median length	13
Mean length	8.2966944
Min length	4

Characters and Unicode

Total characters	1198723
Distinct characters	46
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Alabama
2nd row	Alabama
3rd row	Alabama
4th row	Alabama
5th row	Alabama

Common Values

Value	Count	Frequency (%)
California	14857	10.3%
Texas	14447	10.0%
Florida	12367	8.6%
Georgia	5954	4.1%
North Carolina	5629	3.9%
Tennessee	4447	3.1%
Ohio	4364	3.0%
Pennsylvania	4318	3.0%
Arizona	4221	2.9%
Illinois	4179	2.9%
Other values (41)	69699	48.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
california	14857	9.0%
texas	14447	8.8%
florida	12367	7.5%
carolina	9520	5.8%
new	8224	5.0%
north	6007	3.7%
georgia	5954	3.6%
tennessee	4447	2.7%
ohio	4364	2.7%
virginia	4346	2.6%
Other values (45)	79978	48.6%

Most occurring characters

Value	Count	Frequency (%)
a	165377	13.8%
i	139487	11.6%
o	101750	8.5%
n	100092	8.3%
s	77864	6.5%
r	77824	6.5%
e	71242	5.9%
l	61126	5.1%
C	28123	2.3%
h	27473	2.3%
Other values (36)	348365	29.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1198723	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	165377	13.8%
i	139487	11.6%
o	101750	8.5%
n	100092	8.3%
s	77864	6.5%
r	77824	6.5%
e	71242	5.9%
l	61126	5.1%
C	28123	2.3%
h	27473	2.3%
Other values (36)	348365	29.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1198723	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	165377	13.8%
i	139487	11.6%
o	101750	8.5%
n	100092	8.3%
s	77864	6.5%
r	77824	6.5%
e	71242	5.9%
l	61126	5.1%
C	28123	2.3%
h	27473	2.3%
Other values (36)	348365	29.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1198723	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	165377	13.8%
i	139487	11.6%
o	101750	8.5%
n	100092	8.3%
s	77864	6.5%
r	77824	6.5%
e	71242	5.9%
l	61126	5.1%
C	28123	2.3%
h	27473	2.3%
Other values (36)	348365	29.1%

PERMVIT
Real number (ℝ)

High correlation

Distinct	44
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.2112997

Minimum	0
Maximum	128
Zeros	134
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	423.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	128
Range	128
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.7473306
Coefficient of variation (CV)	0.79018264
Kurtosis	263.97602
Mean	2.2112997
Median Absolute Deviation (MAD)	1
Skewness	7.2210273
Sum	319493
Variance	3.0531643
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
1	61623	42.7%
2	40200	27.8%
3	20724	14.3%
4	10131	7.0%
5	5326	3.7%
6	2833	2.0%
7	1499	1.0%
8	799	0.6%
9	449	0.3%
10	265	0.2%
Other values (34)	633	0.4%

Value	Count	Frequency (%)
0	134	0.1%
1	61623	42.7%
2	40200	27.8%
3	20724	14.3%
4	10131	7.0%
5	5326	3.7%
6	2833	2.0%
7	1499	1.0%
8	799	0.6%
9	449	0.3%

Value	Count	Frequency (%)
128	1	< 0.1%
74	1	< 0.1%
57	1	< 0.1%
52	1	< 0.1%
47	3	< 0.1%
46	4	< 0.1%
45	1	< 0.1%
44	2	< 0.1%
42	1	< 0.1%
40	1	< 0.1%

PERNOTMVIT
Real number (ℝ)

High correlation Zeros

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.25110394

Minimum	0
Maximum	73
Zeros	111306
Zeros (%)	77.0%
Negative	0
Negative (%)	0.0%
Memory size	282.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	73
Range	73
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.54833918
Coefficient of variation (CV)	2.1837139
Kurtosis	2208.4897
Mean	0.25110394
Median Absolute Deviation (MAD)	0
Skewness	19.815925
Sum	36280
Variance	0.30067586
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
0	111306	77.0%
1	31167	21.6%
2	1475	1.0%
3	307	0.2%
4	123	0.1%
5	52	< 0.1%
6	21	< 0.1%
7	11	< 0.1%
8	7	< 0.1%
9	4	< 0.1%
Other values (7)	9	< 0.1%

Value	Count	Frequency (%)
0	111306	77.0%
1	31167	21.6%
2	1475	1.0%
3	307	0.2%
4	123	0.1%
5	52	< 0.1%
6	21	< 0.1%
7	11	< 0.1%
8	7	< 0.1%
9	4	< 0.1%

Value	Count	Frequency (%)
73	1	< 0.1%
23	1	< 0.1%
20	1	< 0.1%
19	1	< 0.1%
18	1	< 0.1%
12	1	< 0.1%
10	3	< 0.1%
9	4	< 0.1%
8	7	< 0.1%
7	11	< 0.1%

VE_TOTAL
Real number (ℝ)

High correlation

Distinct	26
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.5836229

Minimum	1
Maximum	59
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	282.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	59
Range	58
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.85001077
Coefficient of variation (CV)	0.53675075
Kurtosis	298.4772
Mean	1.5836229
Median Absolute Deviation (MAD)	0
Skewness	7.5787234
Sum	228805
Variance	0.72251831
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
1	78585	54.4%
2	53564	37.1%
3	8917	6.2%
4	2117	1.5%
5	766	0.5%
6	277	0.2%
7	117	0.1%
8	58	< 0.1%
9	26	< 0.1%
10	19	< 0.1%
Other values (16)	36	< 0.1%

Value	Count	Frequency (%)
1	78585	54.4%
2	53564	37.1%
3	8917	6.2%
4	2117	1.5%
5	766	0.5%
6	277	0.2%
7	117	0.1%
8	58	< 0.1%
9	26	< 0.1%
10	19	< 0.1%

Value	Count	Frequency (%)
59	1	< 0.1%
50	1	< 0.1%
35	2	< 0.1%
34	1	< 0.1%
28	1	< 0.1%
27	1	< 0.1%
24	1	< 0.1%
21	2	< 0.1%
20	1	< 0.1%
19	1	< 0.1%

VE_FORMS
Real number (ℝ)

High correlation

Distinct	26
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.5433964

Minimum	1
Maximum	59
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	282.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	59
Range	58
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.80903565
Coefficient of variation (CV)	0.52419174
Kurtosis	359.62801
Mean	1.5433964
Median Absolute Deviation (MAD)	0
Skewness	8.2891808
Sum	222993
Variance	0.65453869
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
1	81590	56.5%
2	52156	36.1%
3	7967	5.5%
4	1759	1.2%
5	601	0.4%
6	212	0.1%
7	95	0.1%
8	40	< 0.1%
9	19	< 0.1%
10	15	< 0.1%
Other values (16)	28	< 0.1%

Value	Count	Frequency (%)
1	81590	56.5%
2	52156	36.1%
3	7967	5.5%
4	1759	1.2%
5	601	0.4%
6	212	0.1%
7	95	0.1%
8	40	< 0.1%
9	19	< 0.1%
10	15	< 0.1%

Value	Count	Frequency (%)
59	1	< 0.1%
50	1	< 0.1%
35	2	< 0.1%
34	1	< 0.1%
28	1	< 0.1%
27	1	< 0.1%
24	1	< 0.1%
21	1	< 0.1%
20	1	< 0.1%
19	1	< 0.1%

PVH_INVL
Real number (ℝ)

Zeros

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.040226464

Minimum	0
Maximum	20
Zeros	140430
Zeros (%)	97.2%
Negative	0
Negative (%)	0.0%
Memory size	282.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	20
Range	20
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.29080262
Coefficient of variation (CV)	7.2291369
Kurtosis	359.71421
Mean	0.040226464
Median Absolute Deviation (MAD)	0
Skewness	13.537184
Sum	5812
Variance	0.084566163
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
0	140430	97.2%
1	3016	2.1%
2	651	0.5%
3	224	0.2%
4	88	0.1%
5	34	< 0.1%
6	16	< 0.1%
7	10	< 0.1%
10	6	< 0.1%
9	3	< 0.1%
Other values (3)	4	< 0.1%

Value	Count	Frequency (%)
0	140430	97.2%
1	3016	2.1%
2	651	0.5%
3	224	0.2%
4	88	0.1%
5	34	< 0.1%
6	16	< 0.1%
7	10	< 0.1%
8	2	< 0.1%
9	3	< 0.1%

Value	Count	Frequency (%)
20	1	< 0.1%
11	1	< 0.1%
10	6	< 0.1%
9	3	< 0.1%
8	2	< 0.1%
7	10	< 0.1%
6	16	< 0.1%
5	34	< 0.1%
4	88	0.1%
3	224	0.2%

MONTH
Real number (ℝ)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.7012915

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	282.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.3682169
Coefficient of variation (CV)	0.50262205
Kurtosis	-1.1438495
Mean	6.7012915
Median Absolute Deviation (MAD)	3
Skewness	-0.089903347
Sum	968216
Variance	11.344885
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
10	13287	9.2%
9	13174	9.1%
8	13103	9.1%
7	13060	9.0%
6	12522	8.7%
5	12509	8.7%
11	11933	8.3%
12	11922	8.3%
4	11210	7.8%
3	11001	7.6%
Other values (2)	20761	14.4%

Value	Count	Frequency (%)
1	10833	7.5%
2	9928	6.9%
3	11001	7.6%
4	11210	7.8%
5	12509	8.7%
6	12522	8.7%
7	13060	9.0%
8	13103	9.1%
9	13174	9.1%
10	13287	9.2%

Value	Count	Frequency (%)
12	11922	8.3%
11	11933	8.3%
10	13287	9.2%
9	13174	9.1%
8	13103	9.1%
7	13060	9.0%
6	12522	8.7%
5	12509	8.7%
4	11210	7.8%
3	11001	7.6%

DAY
Real number (ℝ)

Distinct	31
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.627324

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	282.3 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	30
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.8316787
Coefficient of variation (CV)	0.56514338
Kurtosis	-1.1985066
Mean	15.627324
Median Absolute Deviation (MAD)	8
Skewness	0.020099704
Sum	2257867
Variance	77.998548
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
4	5020	3.5%
1	5017	3.5%
3	4940	3.4%
15	4894	3.4%
6	4794	3.3%
22	4788	3.3%
9	4785	3.3%
5	4783	3.3%
21	4779	3.3%
7	4771	3.3%
Other values (21)	95911	66.4%

Value	Count	Frequency (%)
1	5017	3.5%
2	4706	3.3%
3	4940	3.4%
4	5020	3.5%
5	4783	3.3%
6	4794	3.3%
7	4771	3.3%
8	4755	3.3%
9	4785	3.3%
10	4678	3.2%

Value	Count	Frequency (%)
31	2688	1.9%
30	4564	3.2%
29	4392	3.0%
28	4674	3.2%
27	4607	3.2%
26	4636	3.2%
25	4567	3.2%
24	4725	3.3%
23	4705	3.3%
22	4788	3.3%

DAY_WEEKNAME
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	141.9 KiB

Saturday	25100
Sunday	22338
Friday	22329
Thursday	19229
Monday	18837
Other values (2)	36649

Length

Max length	9
Median length	8
Mean length	7.123524
Min length	6

Characters and Unicode

Total characters	1029221
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Friday
2nd row	Monday
3rd row	Monday
4th row	Tuesday
5th row	Friday

Common Values

Value	Count	Frequency (%)
Saturday	25100	17.4%
Sunday	22338	15.5%
Friday	22329	15.5%
Thursday	19229	13.3%
Monday	18837	13.0%
Wednesday	18511	12.8%
Tuesday	18138	12.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
saturday	25100	17.4%
sunday	22338	15.5%
friday	22329	15.5%
thursday	19229	13.3%
monday	18837	13.0%
wednesday	18511	12.8%
tuesday	18138	12.6%

Most occurring characters

Value	Count	Frequency (%)
a	169582	16.5%
d	162993	15.8%
y	144482	14.0%
u	84805	8.2%
r	66658	6.5%
n	59686	5.8%
s	55878	5.4%
e	55160	5.4%
S	47438	4.6%
T	37367	3.6%
Other values (7)	145172	14.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1029221	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	169582	16.5%
d	162993	15.8%
y	144482	14.0%
u	84805	8.2%
r	66658	6.5%
n	59686	5.8%
s	55878	5.4%
e	55160	5.4%
S	47438	4.6%
T	37367	3.6%
Other values (7)	145172	14.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1029221	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	169582	16.5%
d	162993	15.8%
y	144482	14.0%
u	84805	8.2%
r	66658	6.5%
n	59686	5.8%
s	55878	5.4%
e	55160	5.4%
S	47438	4.6%
T	37367	3.6%
Other values (7)	145172	14.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1029221	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	169582	16.5%
d	162993	15.8%
y	144482	14.0%
u	84805	8.2%
r	66658	6.5%
n	59686	5.8%
s	55878	5.4%
e	55160	5.4%
S	47438	4.6%
T	37367	3.6%
Other values (7)	145172	14.1%

HOUR
Real number (ℝ)

Zeros

Distinct	25
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.520452

Minimum	0
Maximum	99
Zeros	5671
Zeros (%)	3.9%
Negative	0
Negative (%)	0.0%
Memory size	282.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	7
median	14
Q3	19
95-th percentile	23
Maximum	99
Range	99
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	10.078241
Coefficient of variation (CV)	0.74540706
Kurtosis	34.969315
Mean	13.520452
Median Absolute Deviation (MAD)	6
Skewness	4.218842
Sum	1953462
Variance	101.57093
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
21	8540	5.9%
20	8514	5.9%
18	8451	5.8%
19	8128	5.6%
17	7788	5.4%
22	7364	5.1%
16	7222	5.0%
15	7071	4.9%
14	6615	4.6%
23	6428	4.4%
Other values (15)	68361	47.3%

Value	Count	Frequency (%)
0	5671	3.9%
1	5316	3.7%
2	5429	3.8%
3	3970	2.7%
4	3638	2.5%
5	4764	3.3%
6	5426	3.8%
7	4739	3.3%
8	3912	2.7%
9	3957	2.7%

Value	Count	Frequency (%)
99	1047	0.7%
23	6428	4.4%
22	7364	5.1%
21	8540	5.9%
20	8514	5.9%
19	8128	5.6%
18	8451	5.8%
17	7788	5.4%
16	7222	5.0%
15	7071	4.9%

MINUTE
Real number (ℝ)

Zeros

Distinct	61
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.206697

Minimum	0
Maximum	99
Zeros	6865
Zeros (%)	4.8%
Negative	0
Negative (%)	0.0%
Memory size	282.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	14
median	30
Q3	45
95-th percentile	56
Maximum	99
Range	99
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	18.372396
Coefficient of variation (CV)	0.62904737
Kurtosis	-0.022999575
Mean	29.206697
Median Absolute Deviation (MAD)	15
Skewness	0.31790202
Sum	4219842
Variance	337.54493
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6865	4.8%
30	6065	4.2%
50	4655	3.2%
45	4471	3.1%
20	4464	3.1%
40	4406	3.0%
15	4397	3.0%
10	4083	2.8%
35	3686	2.6%
25	3679	2.5%
Other values (51)	97711	67.6%

Value	Count	Frequency (%)
0	6865	4.8%
1	1806	1.2%
2	1844	1.3%
3	1867	1.3%
4	1876	1.3%
5	3391	2.3%
6	1779	1.2%
7	1837	1.3%
8	2030	1.4%
9	1789	1.2%

Value	Count	Frequency (%)
99	1048	0.7%
59	1679	1.2%
58	2062	1.4%
57	1895	1.3%
56	1810	1.3%
55	3514	2.4%
54	1889	1.3%
53	1949	1.3%
52	1924	1.3%
51	1721	1.2%

HARM_EVNAME
Text

Distinct	56
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.3 MiB

Length

Max length	133
Median length	60
Mean length	18.814351
Min length	4

Characters and Unicode

Total characters	2718335
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Parked Motor Vehicle
2nd row	Fence
3rd row	Guardrail Face
4th row	Guardrail Face
5th row	Motor Vehicle In-Transport

Value	Count	Frequency (%)
vehicle	60620	18.8%
motor	59247	18.4%
in-transport	57218	17.8%
pedestrian	25547	7.9%
rollover/overturn	10406	3.2%
tree	9792	3.0%
standing	9792	3.0%
only	9792	3.0%
support	5326	1.7%
curb	4545	1.4%
Other values (106)	69813	21.7%

Most occurring characters

Value	Count	Frequency (%)
r	286526	10.5%
e	255814	9.4%
o	222850	8.2%
t	203068	7.5%
n	202667	7.5%
	177616	6.5%
i	133483	4.9%
a	126367	4.6%
l	119757	4.4%
s	93131	3.4%
Other values (45)	897056	33.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2718335	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	286526	10.5%
e	255814	9.4%
o	222850	8.2%
t	203068	7.5%
n	202667	7.5%
	177616	6.5%
i	133483	4.9%
a	126367	4.6%
l	119757	4.4%
s	93131	3.4%
Other values (45)	897056	33.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2718335	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	286526	10.5%
e	255814	9.4%
o	222850	8.2%
t	203068	7.5%
n	202667	7.5%
	177616	6.5%
i	133483	4.9%
a	126367	4.6%
l	119757	4.4%
s	93131	3.4%
Other values (45)	897056	33.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2718335	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	286526	10.5%
e	255814	9.4%
o	222850	8.2%
t	203068	7.5%
n	202667	7.5%
	177616	6.5%
i	133483	4.9%
a	126367	4.6%
l	119757	4.4%
s	93131	3.4%
Other values (45)	897056	33.0%

MAN_COLL
Real number (ℝ)

High correlation Zeros

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.9185712

Minimum	0
Maximum	99
Zeros	87097
Zeros (%)	60.3%
Negative	0
Negative (%)	0.0%
Memory size	282.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	6
Maximum	99
Range	99
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	5.8702851
Coefficient of variation (CV)	3.0597171
Kurtosis	217.92351
Mean	1.9185712
Median Absolute Deviation (MAD)	0
Skewness	13.484143
Sum	277199
Variance	34.460247
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	87097	60.3%
6	26425	18.3%
2	15799	10.9%
1	10353	7.2%
7	2311	1.6%
8	1554	1.1%
11	362	0.3%
99	250	0.2%
98	184	0.1%
9	145	0.1%

Value	Count	Frequency (%)
0	87097	60.3%
1	10353	7.2%
2	15799	10.9%
6	26425	18.3%
7	2311	1.6%
8	1554	1.1%
9	145	0.1%
10	2	< 0.1%
11	362	0.3%
98	184	0.1%

Value	Count	Frequency (%)
99	250	0.2%
98	184	0.1%
11	362	0.3%
10	2	< 0.1%
9	145	0.1%
8	1554	1.1%
7	2311	1.6%
6	26425	18.3%
2	15799	10.9%
1	10353	7.2%

MAN_COLLNAME
Categorical

High correlation

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.1 MiB

The First Harmful Event was Not a Collision with a Motor Vehicle in Transport	66529
Angle	26425
Not a Collision with Motor Vehicle In-Transport	20568
Front-to-Front	15799
Front-to-Rear	10353
Other values (7)	4808

Length

Max length	77
Median length	47
Mean length	46.334955
Min length	5

Characters and Unicode

Total characters	6694567
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Not a Collision with Motor Vehicle In-Transport
2nd row	Not a Collision with Motor Vehicle In-Transport
3rd row	Not a Collision with Motor Vehicle In-Transport
4th row	Not a Collision with Motor Vehicle In-Transport
5th row	Front-to-Rear

Common Values

Value	Count	Frequency (%)
The First Harmful Event was Not a Collision with a Motor Vehicle in Transport	66529	46.0%
Angle	26425	18.3%
Not a Collision with Motor Vehicle In-Transport	20568	14.2%
Front-to-Front	15799	10.9%
Front-to-Rear	10353	7.2%
Sideswipe - Same Direction	2311	1.6%
Sideswipe - Opposite Direction	1554	1.1%
Other	362	0.3%
Reported as Unknown	250	0.2%
Not Reported	184	0.1%
Other values (2)	147	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a	153626	13.4%
not	87281	7.6%
with	87097	7.6%
collision	87097	7.6%
vehicle	87097	7.6%
motor	87097	7.6%
first	66529	5.8%
the	66529	5.8%
event	66529	5.8%
harmful	66529	5.8%
Other values (18)	289635	25.3%

Most occurring characters

Value	Count	Frequency (%)
	1000564	14.9%
o	597119	8.9%
t	556095	8.3%
i	498605	7.4%
r	451463	6.7%
n	400811	6.0%
a	386844	5.8%
e	361014	5.4%
l	354245	5.3%
s	312921	4.7%
Other values (27)	1774886	26.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6694567	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1000564	14.9%
o	597119	8.9%
t	556095	8.3%
i	498605	7.4%
r	451463	6.7%
n	400811	6.0%
a	386844	5.8%
e	361014	5.4%
l	354245	5.3%
s	312921	4.7%
Other values (27)	1774886	26.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6694567	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1000564	14.9%
o	597119	8.9%
t	556095	8.3%
i	498605	7.4%
r	451463	6.7%
n	400811	6.0%
a	386844	5.8%
e	361014	5.4%
l	354245	5.3%
s	312921	4.7%
Other values (27)	1774886	26.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6694567	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1000564	14.9%
o	597119	8.9%
t	556095	8.3%
i	498605	7.4%
r	451463	6.7%
n	400811	6.0%
a	386844	5.8%
e	361014	5.4%
l	354245	5.3%
s	312921	4.7%
Other values (27)	1774886	26.5%

RELJCT2NAME
Categorical

Imbalance

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	142.8 KiB

Non-Junction	95816
Intersection	22882
Intersection-Related	13613
Driveway Access Related	4458
Entrance/Exit Ramp Related	2242
Other values (10)	5471

Length

Max length	38
Median length	12
Mean length	13.684321
Min length	12

Characters and Unicode

Total characters	1977138
Distinct characters	39
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Non-Junction
2nd row	Other location within Interchange Area
3rd row	Non-Junction
4th row	Non-Junction
5th row	Non-Junction

Common Values

Value	Count	Frequency (%)
Non-Junction	95816	66.3%
Intersection	22882	15.8%
Intersection-Related	13613	9.4%
Driveway Access Related	4458	3.1%
Entrance/Exit Ramp Related	2242	1.6%
Through Roadway	1887	1.3%
Other location within Interchange Area	1339	0.9%
Entrance/Exit Ramp	522	0.4%
Driveway Access	508	0.4%
Railway Grade Crossing	475	0.3%
Other values (5)	740	0.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
non-junction	95816	57.1%
intersection	22882	13.6%
intersection-related	13613	8.1%
related	6700	4.0%
driveway	4966	3.0%
access	4966	3.0%
entrance/exit	2764	1.6%
ramp	2764	1.6%
through	1887	1.1%
roadway	1887	1.1%
Other values (17)	9598	5.7%

Most occurring characters

Value	Count	Frequency (%)
n	372608	18.8%
o	236497	12.0%
t	201027	10.2%
c	147889	7.5%
i	145181	7.3%
e	134124	6.8%
-	109695	5.5%
u	97703	4.9%
N	96032	4.9%
J	95816	4.8%
Other values (29)	340566	17.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1977138	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	372608	18.8%
o	236497	12.0%
t	201027	10.2%
c	147889	7.5%
i	145181	7.3%
e	134124	6.8%
-	109695	5.5%
u	97703	4.9%
N	96032	4.9%
J	95816	4.8%
Other values (29)	340566	17.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1977138	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	372608	18.8%
o	236497	12.0%
t	201027	10.2%
c	147889	7.5%
i	145181	7.3%
e	134124	6.8%
-	109695	5.5%
u	97703	4.9%
N	96032	4.9%
J	95816	4.8%
Other values (29)	340566	17.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1977138	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	372608	18.8%
o	236497	12.0%
t	201027	10.2%
c	147889	7.5%
i	145181	7.3%
e	134124	6.8%
-	109695	5.5%
u	97703	4.9%
N	96032	4.9%
J	95816	4.8%
Other values (29)	340566	17.2%

ROUTE
Real number (ℝ)

High correlation Zeros

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.6908127

Minimum	0
Maximum	99
Zeros	3519
Zeros (%)	2.4%
Negative	0
Negative (%)	0.0%
Memory size	282.3 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	5
95-th percentile	9
Maximum	99
Range	99
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	13.868948
Coefficient of variation (CV)	2.4370769
Kurtosis	37.151692
Mean	5.6908127
Median Absolute Deviation (MAD)	1
Skewness	6.1732621
Sum	822220
Variance	192.34773
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
3	42150	29.2%
2	23728	16.4%
6	19082	13.2%
4	18091	12.5%
1	18015	12.5%
8	7629	5.3%
9	4786	3.3%
0	3519	2.4%
5	2910	2.0%
95	2668	1.8%
Other values (7)	1904	1.3%

Value	Count	Frequency (%)
0	3519	2.4%
1	18015	12.5%
2	23728	16.4%
3	42150	29.2%
4	18091	12.5%
5	2910	2.0%
6	19082	13.2%
7	739	0.5%
8	7629	5.3%
9	4786	3.3%

Value	Count	Frequency (%)
99	512	0.4%
96	91	0.1%
95	2668	1.8%
13	16	< 0.1%
12	525	0.4%
11	12	< 0.1%
10	9	< 0.1%
9	4786	3.3%
8	7629	5.3%
7	739	0.5%

FUNC_SYS
Real number (ℝ)

High correlation

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.2906729

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	282.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	4
Q3	5
95-th percentile	7
Maximum	99
Range	98
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	6.9194152
Coefficient of variation (CV)	1.6126643
Kurtosis	165.66465
Mean	4.2906729
Median Absolute Deviation (MAD)	1
Skewness	12.549177
Sum	619925
Variance	47.878307
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	42861	29.7%
4	32652	22.6%
5	22857	15.8%
1	18042	12.5%
7	16318	11.3%
2	6176	4.3%
6	4826	3.3%
96	375	0.3%
98	252	0.2%
99	123	0.1%

Value	Count	Frequency (%)
1	18042	12.5%
2	6176	4.3%
3	42861	29.7%
4	32652	22.6%
5	22857	15.8%
6	4826	3.3%
7	16318	11.3%
96	375	0.3%
98	252	0.2%
99	123	0.1%

Value	Count	Frequency (%)
99	123	0.1%
98	252	0.2%
96	375	0.3%
7	16318	11.3%
6	4826	3.3%
5	22857	15.8%
4	32652	22.6%
3	42861	29.7%
2	6176	4.3%
1	18042	12.5%

FUNC_SYSNAME
Categorical

High correlation

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.2 MiB

Minor Arterial	32652
Principal Arterial - Other	31489
Major Collector	22857
Interstate	18042
Local	16318
Other values (7)	23124

Length

Max length	51
Median length	30
Mean length	17.481638
Min length	5

Characters and Unicode

Total characters	2525782
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Interstate
2nd row	Interstate
3rd row	Interstate
4th row	Interstate
5th row	Interstate

Common Values

Value	Count	Frequency (%)
Minor Arterial	32652	22.6%
Principal Arterial - Other	31489	21.8%
Major Collector	22857	15.8%
Interstate	18042	12.5%
Local	16318	11.3%
Other Principal Arterial	11372	7.9%
Minor Collector	4826	3.3%
Principal Arterial - Other Freeways and Expressways	4677	3.2%
Other Freeways and Expressways	1499	1.0%
Trafficway Not in State Inventory	375	0.3%
Other values (2)	375	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
arterial	80190	22.5%
other	49037	13.8%
principal	47538	13.3%
minor	37478	10.5%
	36166	10.1%
collector	27683	7.8%
major	22857	6.4%
interstate	18042	5.1%
local	16318	4.6%
freeways	6176	1.7%
Other values (9)	14854	4.2%

Most occurring characters

Value	Count	Frequency (%)
r	376369	14.9%
i	213494	8.5%
t	213040	8.4%
e	212776	8.4%
	211857	8.4%
a	204598	8.1%
l	199412	7.9%
o	133396	5.3%
n	110728	4.4%
c	91914	3.6%
Other values (26)	558198	22.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2525782	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	376369	14.9%
i	213494	8.5%
t	213040	8.4%
e	212776	8.4%
	211857	8.4%
a	204598	8.1%
l	199412	7.9%
o	133396	5.3%
n	110728	4.4%
c	91914	3.6%
Other values (26)	558198	22.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2525782	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	376369	14.9%
i	213494	8.5%
t	213040	8.4%
e	212776	8.4%
	211857	8.4%
a	204598	8.1%
l	199412	7.9%
o	133396	5.3%
n	110728	4.4%
c	91914	3.6%
Other values (26)	558198	22.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2525782	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	376369	14.9%
i	213494	8.5%
t	213040	8.4%
e	212776	8.4%
	211857	8.4%
a	204598	8.1%
l	199412	7.9%
o	133396	5.3%
n	110728	4.4%
c	91914	3.6%
Other values (26)	558198	22.1%

RUR_URBNAME
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	141.7 KiB

Urban	84280
Rural	59558
Trafficway Not in State Inventory	375
Not Reported	166
Unknown	103

Length

Max length	33
Median length	5
Mean length	5.0821417
Min length	5

Characters and Unicode

Total characters	734278
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Rural
2nd row	Urban
3rd row	Rural
4th row	Rural
5th row	Urban

Common Values

Value	Count	Frequency (%)
Urban	84280	58.3%
Rural	59558	41.2%
Trafficway Not in State Inventory	375	0.3%
Not Reported	166	0.1%
Unknown	103	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
urban	84280	57.7%
rural	59558	40.8%
not	541	0.4%
trafficway	375	0.3%
in	375	0.3%
state	375	0.3%
inventory	375	0.3%
reported	166	0.1%
unknown	103	0.1%

Most occurring characters

Value	Count	Frequency (%)
a	144963	19.7%
r	144754	19.7%
n	85714	11.7%
U	84383	11.5%
b	84280	11.5%
R	59724	8.1%
u	59558	8.1%
l	59558	8.1%
t	1832	0.2%
	1666	0.2%
Other values (15)	7846	1.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	734278	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	144963	19.7%
r	144754	19.7%
n	85714	11.7%
U	84383	11.5%
b	84280	11.5%
R	59724	8.1%
u	59558	8.1%
l	59558	8.1%
t	1832	0.2%
	1666	0.2%
Other values (15)	7846	1.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	734278	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	144963	19.7%
r	144754	19.7%
n	85714	11.7%
U	84383	11.5%
b	84280	11.5%
R	59724	8.1%
u	59558	8.1%
l	59558	8.1%
t	1832	0.2%
	1666	0.2%
Other values (15)	7846	1.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	734278	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	144963	19.7%
r	144754	19.7%
n	85714	11.7%
U	84383	11.5%
b	84280	11.5%
R	59724	8.1%
u	59558	8.1%
l	59558	8.1%
t	1832	0.2%
	1666	0.2%
Other values (15)	7846	1.1%

TYP_INTNAME
Categorical

Imbalance

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.3 MiB

Not an Intersection	107637
Four-Way Intersection	22790
T-Intersection	12265
Y-Intersection	759
Not Reported	418
Other values (6)	613

Length

Max length	23
Median length	19
Mean length	18.834201
Min length	10

Characters and Unicode

Total characters	2721203
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Not an Intersection
2nd row	Not an Intersection
3rd row	Not an Intersection
4th row	Not an Intersection
5th row	Not an Intersection

Common Values

Value	Count	Frequency (%)
Not an Intersection	107637	74.5%
Four-Way Intersection	22790	15.8%
T-Intersection	12265	8.5%
Y-Intersection	759	0.5%
Not Reported	418	0.3%
Reported as Unknown	184	0.1%
Five Point, or More	179	0.1%
Roundabout	116	0.1%
L-Intersection	75	0.1%
Traffic Circle	34	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
intersection	130452	34.0%
not	108055	28.1%
an	107637	28.0%
four-way	22790	5.9%
t-intersection	12265	3.2%
y-intersection	759	0.2%
reported	602	0.2%
as	184	< 0.1%
unknown	184	< 0.1%
five	179	< 0.1%
Other values (9)	846	0.2%

Most occurring characters

Value	Count	Frequency (%)
t	396079	14.6%
n	395586	14.5%
e	288748	10.6%
o	275951	10.1%
	239471	8.8%
r	167394	6.2%
i	143977	5.3%
s	143735	5.3%
c	143619	5.3%
I	143551	5.3%
Other values (26)	383092	14.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2721203	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	396079	14.6%
n	395586	14.5%
e	288748	10.6%
o	275951	10.1%
	239471	8.8%
r	167394	6.2%
i	143977	5.3%
s	143735	5.3%
c	143619	5.3%
I	143551	5.3%
Other values (26)	383092	14.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2721203	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	396079	14.6%
n	395586	14.5%
e	288748	10.6%
o	275951	10.1%
	239471	8.8%
r	167394	6.2%
i	143977	5.3%
s	143735	5.3%
c	143619	5.3%
I	143551	5.3%
Other values (26)	383092	14.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2721203	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	396079	14.6%
n	395586	14.5%
e	288748	10.6%
o	275951	10.1%
	239471	8.8%
r	167394	6.2%
i	143977	5.3%
s	143735	5.3%
c	143619	5.3%
I	143551	5.3%
Other values (26)	383092	14.1%

REL_ROADNAME
Categorical

Imbalance

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	142.6 KiB

On Roadway	91422
On Roadside	40338
On Median	5126
Outside Trafficway	2640
On Shoulder	2199
Other values (8)	2757

Length

Max length	42
Median length	10
Mean length	10.520169
Min length	4

Characters and Unicode

Total characters	1519975
Distinct characters	35
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	On Shoulder
2nd row	On Median
3rd row	On Roadside
4th row	On Roadside
5th row	On Roadway

Common Values

Value	Count	Frequency (%)
On Roadway	91422	63.3%
On Roadside	40338	27.9%
On Median	5126	3.5%
Outside Trafficway	2640	1.8%
On Shoulder	2199	1.5%
Gore	776	0.5%
In Parking Lane/Zone	438	0.3%
Separator	405	0.3%
Off Roadway-Location Unknown	402	0.3%
Reported as Unknown	221	0.2%
Other values (3)	515	0.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
on	139085	48.0%
roadway	91422	31.5%
roadside	40338	13.9%
median	5126	1.8%
outside	2640	0.9%
trafficway	2640	0.9%
shoulder	2199	0.8%
gore	776	0.3%
unknown	623	0.2%
in	438	0.2%
Other values (18)	4681	1.6%

Most occurring characters

Value	Count	Frequency (%)
a	237457	15.6%
d	183303	12.1%
n	149399	9.8%
	145486	9.6%
O	142127	9.4%
o	138515	9.1%
R	132714	8.7%
w	95087	6.3%
y	94464	6.2%
e	54118	3.6%
Other values (25)	147305	9.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1519975	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	237457	15.6%
d	183303	12.1%
n	149399	9.8%
	145486	9.6%
O	142127	9.4%
o	138515	9.1%
R	132714	8.7%
w	95087	6.3%
y	94464	6.2%
e	54118	3.6%
Other values (25)	147305	9.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1519975	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	237457	15.6%
d	183303	12.1%
n	149399	9.8%
	145486	9.6%
O	142127	9.4%
o	138515	9.1%
R	132714	8.7%
w	95087	6.3%
y	94464	6.2%
e	54118	3.6%
Other values (25)	147305	9.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1519975	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	237457	15.6%
d	183303	12.1%
n	149399	9.8%
	145486	9.6%
O	142127	9.4%
o	138515	9.1%
R	132714	8.7%
w	95087	6.3%
y	94464	6.2%
e	54118	3.6%
Other values (25)	147305	9.7%

WRK_ZONENAME
Categorical

High correlation Missing

Distinct	4
Distinct (%)	0.1%
Missing	141395
Missing (%)	97.9%
Memory size	141.6 KiB

Construction	1867
Work Zone, Type Unknown	1000
Maintenance	186
Utility	34

Length

Max length	23
Median length	12
Mean length	15.448008
Min length	7

Characters and Unicode

Total characters	47688
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Construction
2nd row	Construction
3rd row	Construction
4th row	Maintenance
5th row	Work Zone, Type Unknown

Common Values

Value	Count	Frequency (%)
Construction	1867	1.3%
Work Zone, Type Unknown	1000	0.7%
Maintenance	186	0.1%
Utility	34	< 0.1%
(Missing)	141395	97.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
construction	1867	30.7%
work	1000	16.4%
zone	1000	16.4%
type	1000	16.4%
unknown	1000	16.4%
maintenance	186	3.1%
utility	34	0.6%

Most occurring characters

Value	Count	Frequency (%)
n	8292	17.4%
o	6734	14.1%
t	3988	8.4%
	3000	6.3%
r	2867	6.0%
e	2372	5.0%
i	2121	4.4%
c	2053	4.3%
k	2000	4.2%
C	1867	3.9%
Other values (13)	12394	26.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	47688	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	8292	17.4%
o	6734	14.1%
t	3988	8.4%
	3000	6.3%
r	2867	6.0%
e	2372	5.0%
i	2121	4.4%
c	2053	4.3%
k	2000	4.2%
C	1867	3.9%
Other values (13)	12394	26.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	47688	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	8292	17.4%
o	6734	14.1%
t	3988	8.4%
	3000	6.3%
r	2867	6.0%
e	2372	5.0%
i	2121	4.4%
c	2053	4.3%
k	2000	4.2%
C	1867	3.9%
Other values (13)	12394	26.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	47688	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	8292	17.4%
o	6734	14.1%
t	3988	8.4%
	3000	6.3%
r	2867	6.0%
e	2372	5.0%
i	2121	4.4%
c	2053	4.3%
k	2000	4.2%
C	1867	3.9%
Other values (13)	12394	26.0%

SCH_BUSNAME
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	141.4 KiB

No	144064
Yes	418

Length

Max length	3
Median length	2
Mean length	2.0028931
Min length	2

Characters and Unicode

Total characters	289382
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	144064	99.7%
Yes	418	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	144064	99.7%
yes	418	0.3%

Most occurring characters

Value	Count	Frequency (%)
N	144064	49.8%
o	144064	49.8%
Y	418	0.1%
e	418	0.1%
s	418	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	289382	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
N	144064	49.8%
o	144064	49.8%
Y	418	0.1%
e	418	0.1%
s	418	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	289382	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
N	144064	49.8%
o	144064	49.8%
Y	418	0.1%
e	418	0.1%
s	418	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	289382	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
N	144064	49.8%
o	144064	49.8%
Y	418	0.1%
e	418	0.1%
s	418	0.1%

RAIL
Text

Distinct	517
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	7.7 MiB

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	1011374
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	506 ?
Unique (%)	0.4%

Sample

1st row	0000000
2nd row	0000000
3rd row	0000000
4th row	0000000
5th row	0000000

Value	Count	Frequency (%)
0000000	143934	99.6%
9999999	24	< 0.1%
028442l	2	< 0.1%
390521p	2	< 0.1%
764083b	2	< 0.1%
796261y	2	< 0.1%
667324w	2	< 0.1%
155637w	2	< 0.1%
352088w	2	< 0.1%
608311k	2	< 0.1%
Other values (507)	508	0.4%

Most occurring characters

Value	Count	Frequency (%)
0	1007899	99.7%
9	401	< 0.1%
3	363	< 0.1%
4	338	< 0.1%
2	333	< 0.1%
5	331	< 0.1%
7	312	< 0.1%
6	307	< 0.1%
8	301	< 0.1%
1	265	< 0.1%
Other values (22)	524	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1011374	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1007899	99.7%
9	401	< 0.1%
3	363	< 0.1%
4	338	< 0.1%
2	333	< 0.1%
5	331	< 0.1%
7	312	< 0.1%
6	307	< 0.1%
8	301	< 0.1%
1	265	< 0.1%
Other values (22)	524	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1011374	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1007899	99.7%
9	401	< 0.1%
3	363	< 0.1%
4	338	< 0.1%
2	333	< 0.1%
5	331	< 0.1%
7	312	< 0.1%
6	307	< 0.1%
8	301	< 0.1%
1	265	< 0.1%
Other values (22)	524	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1011374	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1007899	99.7%
9	401	< 0.1%
3	363	< 0.1%
4	338	< 0.1%
2	333	< 0.1%
5	331	< 0.1%
7	312	< 0.1%
6	307	< 0.1%
8	301	< 0.1%
1	265	< 0.1%
Other values (22)	524	0.1%

LGT_CONDNAME
Categorical

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	142.1 KiB

Daylight	66267
Dark - Not Lighted	39258
Dark - Lighted	30332
Dusk	3457
Dawn	2795
Other values (4)	2373

Length

Max length	23
Median length	19
Mean length	12.003454
Min length	4

Characters and Unicode

Total characters	1734283
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Dawn
2nd row	Dark - Not Lighted
3rd row	Dark - Not Lighted
4th row	Daylight
5th row	Daylight

Common Values

Value	Count	Frequency (%)
Daylight	66267	45.9%
Dark - Not Lighted	39258	27.2%
Dark - Lighted	30332	21.0%
Dusk	3457	2.4%
Dawn	2795	1.9%
Dark - Unknown Lighting	1376	1.0%
Reported as Unknown	671	0.5%
Not Reported	260	0.2%
Other	66	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
dark	70966	21.6%
	70966	21.6%
lighted	69590	21.2%
daylight	66267	20.2%
not	39518	12.0%
dusk	3457	1.1%
dawn	2795	0.9%
unknown	2047	0.6%
lighting	1376	0.4%
reported	931	0.3%
Other values (2)	737	0.2%

Most occurring characters

Value	Count	Frequency (%)
	184168	10.6%
t	177748	10.2%
D	143485	8.3%
a	140699	8.1%
g	138609	8.0%
i	138609	8.0%
h	137299	7.9%
k	76470	4.4%
r	71963	4.1%
e	71518	4.1%
Other values (15)	453715	26.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1734283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	184168	10.6%
t	177748	10.2%
D	143485	8.3%
a	140699	8.1%
g	138609	8.0%
i	138609	8.0%
h	137299	7.9%
k	76470	4.4%
r	71963	4.1%
e	71518	4.1%
Other values (15)	453715	26.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1734283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	184168	10.6%
t	177748	10.2%
D	143485	8.3%
a	140699	8.1%
g	138609	8.0%
i	138609	8.0%
h	137299	7.9%
k	76470	4.4%
r	71963	4.1%
e	71518	4.1%
Other values (15)	453715	26.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1734283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	184168	10.6%
t	177748	10.2%
D	143485	8.3%
a	140699	8.1%
g	138609	8.0%
i	138609	8.0%
h	137299	7.9%
k	76470	4.4%
r	71963	4.1%
e	71518	4.1%
Other values (15)	453715	26.2%

WEATHERNAME
Categorical

Imbalance

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	142.5 KiB

Clear	102752
Cloudy	19482
Rain	10443
Not Reported	7415
Fog, Smog, Smoke	1514
Other values (8)	2876

Length

Max length	24
Median length	5
Mean length	5.6516521
Min length	4

Characters and Unicode

Total characters	816562
Distinct characters	32
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Clear
2nd row	Rain
3rd row	Cloudy
4th row	Cloudy
5th row	Clear

Common Values

Value	Count	Frequency (%)
Clear	102752	71.1%
Cloudy	19482	13.5%
Rain	10443	7.2%
Not Reported	7415	5.1%
Fog, Smog, Smoke	1514	1.0%
Snow	1319	0.9%
Reported as Unknown	696	0.5%
Severe Crosswinds	219	0.2%
Sleet or Hail	197	0.1%
Other	150	0.1%
Other values (3)	295	0.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
clear	102752	65.2%
cloudy	19482	12.4%
rain	10561	6.7%
reported	8111	5.1%
not	7415	4.7%
fog	1514	1.0%
smog	1514	1.0%
smoke	1514	1.0%
snow	1459	0.9%
as	696	0.4%
Other values (13)	2517	1.6%

Most occurring characters

Value	Count	Frequency (%)
l	122960	15.1%
C	122453	15.0%
e	122043	14.9%
a	114243	14.0%
r	112039	13.7%
o	42453	5.2%
d	27849	3.4%
u	19482	2.4%
y	19482	2.4%
R	18672	2.3%
Other values (22)	94886	11.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	816562	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	122960	15.1%
C	122453	15.0%
e	122043	14.9%
a	114243	14.0%
r	112039	13.7%
o	42453	5.2%
d	27849	3.4%
u	19482	2.4%
y	19482	2.4%
R	18672	2.3%
Other values (22)	94886	11.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	816562	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	122960	15.1%
C	122453	15.0%
e	122043	14.9%
a	114243	14.0%
r	112039	13.7%
o	42453	5.2%
d	27849	3.4%
u	19482	2.4%
y	19482	2.4%
R	18672	2.3%
Other values (22)	94886	11.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	816562	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	122960	15.1%
C	122453	15.0%
e	122043	14.9%
a	114243	14.0%
r	112039	13.7%
o	42453	5.2%
d	27849	3.4%
u	19482	2.4%
y	19482	2.4%
R	18672	2.3%
Other values (22)	94886	11.6%

FATALS
Real number (ℝ)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.0853394

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	282.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	20
Range	19
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.35105484
Coefficient of variation (CV)	0.32345168
Kurtosis	102.72701
Mean	1.0853394
Median Absolute Deviation (MAD)	0
Skewness	6.5131132
Sum	156812
Variance	0.1232395
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
1	134403	93.0%
2	8438	5.8%
3	1219	0.8%
4	308	0.2%
5	78	0.1%
6	21	< 0.1%
7	6	< 0.1%
8	6	< 0.1%
9	2	< 0.1%
20	1	< 0.1%

Value	Count	Frequency (%)
1	134403	93.0%
2	8438	5.8%
3	1219	0.8%
4	308	0.2%
5	78	0.1%
6	21	< 0.1%
7	6	< 0.1%
8	6	< 0.1%
9	2	< 0.1%
20	1	< 0.1%

Value	Count	Frequency (%)
20	1	< 0.1%
9	2	< 0.1%
8	6	< 0.1%
7	6	< 0.1%
6	21	< 0.1%
5	78	0.1%
4	308	0.2%
3	1219	0.8%
2	8438	5.8%
1	134403	93.0%

YEAR
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.3 MiB

2022	39422
2023	37654
2018	33919
2019	33487

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	577928
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2018
2nd row	2018
3rd row	2018
4th row	2018
5th row	2018

Common Values

Value	Count	Frequency (%)
2022	39422	27.3%
2023	37654	26.1%
2018	33919	23.5%
2019	33487	23.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2022	39422	27.3%
2023	37654	26.1%
2018	33919	23.5%
2019	33487	23.2%

Most occurring characters

Value	Count	Frequency (%)
2	260980	45.2%
0	144482	25.0%
1	67406	11.7%
3	37654	6.5%
8	33919	5.9%
9	33487	5.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	577928	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	260980	45.2%
0	144482	25.0%
1	67406	11.7%
3	37654	6.5%
8	33919	5.9%
9	33487	5.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	577928	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	260980	45.2%
0	144482	25.0%
1	67406	11.7%
3	37654	6.5%
8	33919	5.9%
9	33487	5.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	577928	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	260980	45.2%
0	144482	25.0%
1	67406	11.7%
3	37654	6.5%
8	33919	5.9%
9	33487	5.8%

Interactions

Correlations

	DAY	DAY_WEEKNAME	FATALS	FUNC_SYS	FUNC_SYSNAME	HOUR	LGT_CONDNAME	MAN_COLL	MAN_COLLNAME	MINUTE	MONTH	PERMVIT	PERNOTMVIT	PVH_INVL	RELJCT2NAME	REL_ROADNAME	ROUTE	RUR_URBNAME	SCH_BUSNAME	STATENAME	ST_CASE	TYP_INTNAME	VE_FORMS	VE_TOTAL	WEATHERNAME	WRK_ZONENAME	YEAR
DAY	1.000	0.019	0.001	-0.001	0.000	0.001	0.000	0.002	0.001	0.001	0.007	0.002	-0.006	-0.001	0.003	0.000	0.003	0.004	0.000	0.005	0.003	0.003	0.002	0.001	0.009	0.000	0.007
DAY_WEEKNAME	0.019	1.000	0.006	0.000	0.016	0.053	0.043	0.007	0.027	0.005	0.022	0.003	0.003	0.001	0.023	0.035	0.004	0.007	0.033	0.014	0.010	0.018	0.005	0.004	0.011	0.028	0.008
FATALS	0.001	0.006	1.000	-0.042	0.013	-0.014	0.000	0.130	0.040	-0.001	-0.002	0.275	-0.105	0.006	0.011	0.008	-0.051	0.020	0.006	0.009	0.008	0.004	0.147	0.145	0.003	0.011	0.003
FUNC_SYS	-0.001	0.000	-0.042	1.000	1.000	0.069	0.095	-0.091	0.141	-0.000	0.010	-0.141	-0.064	-0.022	0.154	0.154	0.606	0.786	0.001	0.103	0.033	0.144	-0.177	-0.180	0.094	0.034	0.031
FUNC_SYSNAME	0.000	0.016	0.013	1.000	1.000	0.084	0.082	0.129	0.131	0.035	0.013	0.018	0.025	0.007	0.164	0.147	0.128	0.642	0.017	0.101	0.060	0.125	0.019	0.016	0.057	0.101	0.339
HOUR	0.001	0.053	-0.014	0.069	0.084	1.000	0.441	-0.003	0.124	0.022	0.010	0.013	0.083	-0.025	0.125	0.110	0.065	0.077	0.025	0.100	-0.009	0.097	-0.002	-0.010	0.118	0.021	0.010
LGT_CONDNAME	0.000	0.043	0.000	0.095	0.082	0.441	1.000	0.149	0.126	0.129	0.055	0.002	0.000	0.013	0.179	0.152	0.037	0.198	0.043	0.108	0.046	0.156	0.002	0.003	0.194	0.062	0.022
MAN_COLL	0.002	0.007	0.130	-0.091	0.129	-0.003	0.149	1.000	1.000	0.005	-0.008	0.650	-0.389	-0.059	0.296	0.283	-0.069	0.120	0.002	0.105	0.004	0.279	0.859	0.816	0.155	0.000	0.005
MAN_COLLNAME	0.001	0.027	0.040	0.141	0.131	0.124	0.126	1.000	1.000	0.051	0.009	0.026	0.000	0.005	0.275	0.235	0.060	0.131	0.038	0.063	0.030	0.223	0.031	0.028	0.090	0.058	0.449
MINUTE	0.001	0.005	-0.001	-0.000	0.035	0.022	0.129	0.005	0.051	1.000	-0.001	-0.002	0.003	-0.008	0.061	0.069	0.005	0.041	0.002	0.061	0.003	0.057	0.004	0.002	0.072	0.000	0.000
MONTH	0.007	0.022	-0.002	0.010	0.013	0.010	0.055	-0.008	0.009	-0.001	1.000	-0.005	0.019	-0.001	0.013	0.010	0.004	0.023	0.021	0.028	0.050	0.005	-0.008	-0.008	0.059	0.043	0.005
PERMVIT	0.002	0.003	0.275	-0.141	0.018	0.013	0.002	0.650	0.026	-0.002	-0.005	1.000	-0.334	-0.043	0.003	0.011	-0.117	0.000	0.088	0.009	0.006	0.000	0.750	0.717	0.047	0.000	0.006
PERNOTMVIT	-0.006	0.003	-0.105	-0.064	0.025	0.083	0.000	-0.389	0.000	0.003	0.019	-0.334	1.000	0.109	0.022	0.004	0.068	0.025	0.000	0.014	-0.066	0.000	-0.350	-0.311	0.000	1.000	0.000
PVH_INVL	-0.001	0.001	0.006	-0.022	0.007	-0.025	0.013	-0.059	0.005	-0.008	-0.001	-0.043	0.109	1.000	0.017	0.063	-0.005	0.014	0.001	0.006	-0.001	0.000	-0.059	0.220	0.009	0.000	0.000
RELJCT2NAME	0.003	0.023	0.011	0.154	0.164	0.125	0.179	0.296	0.275	0.061	0.013	0.003	0.022	0.017	1.000	0.330	0.038	0.188	0.023	0.082	0.051	0.469	0.006	0.009	0.111	0.027	0.027
REL_ROADNAME	0.000	0.035	0.008	0.154	0.147	0.110	0.152	0.283	0.235	0.069	0.010	0.011	0.004	0.063	0.330	1.000	0.039	0.169	0.033	0.090	0.056	0.307	0.002	0.003	0.104	0.030	0.023
ROUTE	0.003	0.004	-0.051	0.606	0.128	0.065	0.037	-0.069	0.060	0.005	0.004	-0.117	0.068	-0.005	0.038	0.039	1.000	0.082	0.000	0.258	-0.063	0.036	-0.131	-0.131	0.020	0.000	0.197
RUR_URBNAME	0.004	0.007	0.020	0.786	0.642	0.077	0.198	0.120	0.131	0.041	0.023	0.000	0.025	0.014	0.188	0.169	0.082	1.000	0.000	0.176	0.098	0.170	0.003	0.007	0.096	0.026	0.037
SCH_BUSNAME	0.000	0.033	0.006	0.001	0.017	0.025	0.043	0.002	0.038	0.002	0.021	0.088	0.000	0.001	0.023	0.033	0.000	0.000	1.000	0.026	0.015	0.021	0.006	0.008	0.009	0.000	0.002
STATENAME	0.005	0.014	0.009	0.103	0.101	0.100	0.108	0.105	0.063	0.061	0.028	0.009	0.014	0.006	0.082	0.090	0.258	0.176	0.026	1.000	0.992	0.083	0.011	0.012	0.229	0.405	0.017
ST_CASE	0.003	0.010	0.008	0.033	0.060	-0.009	0.046	0.004	0.030	0.003	0.050	0.006	-0.066	-0.001	0.051	0.056	-0.063	0.098	0.015	0.992	1.000	0.041	0.005	0.004	0.146	0.223	0.005
TYP_INTNAME	0.003	0.018	0.004	0.144	0.125	0.097	0.156	0.279	0.223	0.057	0.005	0.000	0.000	0.000	0.469	0.307	0.036	0.170	0.021	0.083	0.041	1.000	0.000	0.000	0.121	0.024	0.020
VE_FORMS	0.002	0.005	0.147	-0.177	0.019	-0.002	0.002	0.859	0.031	0.004	-0.008	0.750	-0.350	-0.059	0.006	0.002	-0.131	0.003	0.006	0.011	0.005	0.000	1.000	0.955	0.051	0.043	0.003
VE_TOTAL	0.001	0.004	0.145	-0.180	0.016	-0.010	0.003	0.816	0.028	0.002	-0.008	0.717	-0.311	0.220	0.009	0.003	-0.131	0.007	0.008	0.012	0.004	0.000	0.955	1.000	0.051	0.043	0.000
WEATHERNAME	0.009	0.011	0.003	0.094	0.057	0.118	0.194	0.155	0.090	0.072	0.059	0.047	0.000	0.009	0.111	0.104	0.020	0.096	0.009	0.229	0.146	0.121	0.051	0.051	1.000	0.072	0.061
WRK_ZONENAME	0.000	0.028	0.011	0.034	0.101	0.021	0.062	0.000	0.058	0.000	0.043	0.000	1.000	0.000	0.027	0.030	0.000	0.026	0.000	0.405	0.223	0.024	0.043	0.043	0.072	1.000	0.043
YEAR	0.007	0.008	0.003	0.031	0.339	0.010	0.022	0.005	0.449	0.000	0.005	0.006	0.000	0.000	0.027	0.023	0.197	0.037	0.002	0.017	0.005	0.020	0.003	0.000	0.061	0.043	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	ST_CASE	STATENAME	PERMVIT	PERNOTMVIT	VE_TOTAL	VE_FORMS	PVH_INVL	MONTH	DAY	DAY_WEEKNAME	HOUR	MINUTE	HARM_EVNAME	MAN_COLL	MAN_COLLNAME	RELJCT2NAME	ROUTE	FUNC_SYS	FUNC_SYSNAME	RUR_URBNAME	TYP_INTNAME	REL_ROADNAME	WRK_ZONENAME	SCH_BUSNAME	LGT_CONDNAME	WEATHERNAME	FATALS	YEAR
0	10001	Alabama	1	0	2	1	1	1	5	Friday	6	0	Parked Motor Vehicle	0	Not a Collision with Motor Vehicle In-Transport	Non-Junction	1	1	Interstate	Rural	Not an Intersection	On Shoulder	<NA>	No	Dawn	Clear	1	2018
1	10002	Alabama	2	0	1	1	0	1	8	Monday	0	48	Fence	0	Not a Collision with Motor Vehicle In-Transport	Other location within Interchange Area	1	1	Interstate	Urban	Not an Intersection	On Median	<NA>	No	Dark - Not Lighted	Rain	2	2018
2	10003	Alabama	2	0	2	2	0	1	8	Monday	22	50	Guardrail Face	0	Not a Collision with Motor Vehicle In-Transport	Non-Junction	1	1	Interstate	Rural	Not an Intersection	On Roadside	Construction	No	Dark - Not Lighted	Cloudy	1	2018
3	10004	Alabama	2	0	1	1	0	1	9	Tuesday	13	2	Guardrail Face	0	Not a Collision with Motor Vehicle In-Transport	Non-Junction	1	1	Interstate	Rural	Not an Intersection	On Roadside	<NA>	No	Daylight	Cloudy	1	2018
4	10005	Alabama	2	0	2	2	0	1	19	Friday	7	9	Motor Vehicle In-Transport	1	Front-to-Rear	Non-Junction	1	1	Interstate	Urban	Not an Intersection	On Roadway	<NA>	No	Daylight	Clear	1	2018
5	10006	Alabama	1	4	2	1	1	1	19	Friday	22	8	Parked Motor Vehicle	0	Not a Collision with Motor Vehicle In-Transport	Non-Junction	1	1	Interstate	Rural	Not an Intersection	On Shoulder	<NA>	No	Dark - Not Lighted	Clear	1	2018
6	10007	Alabama	1	1	1	1	0	1	21	Sunday	9	13	Pedestrian	0	Not a Collision with Motor Vehicle In-Transport	Non-Junction	1	1	Interstate	Urban	Not an Intersection	On Roadway	<NA>	No	Daylight	Clear	1	2018
7	10008	Alabama	1	1	2	2	0	1	23	Tuesday	0	32	Motor Vehicle In-Transport	1	Front-to-Rear	Non-Junction	1	1	Interstate	Urban	Not an Intersection	On Roadway	<NA>	No	Dark - Not Lighted	Cloudy	1	2018
8	10009	Alabama	1	0	1	1	0	1	27	Saturday	0	35	Traffic Sign Support	0	Not a Collision with Motor Vehicle In-Transport	Entrance/Exit Ramp Related	1	1	Interstate	Urban	Not an Intersection	Gore	<NA>	No	Dark - Lighted	Cloudy	1	2018
9	10010	Alabama	1	1	1	1	0	1	28	Sunday	22	15	Pedestrian	0	Not a Collision with Motor Vehicle In-Transport	Non-Junction	1	1	Interstate	Urban	Not an Intersection	On Roadway	Construction	No	Dark - Not Lighted	Clear	1	2018

	ST_CASE	STATENAME	PERMVIT	PERNOTMVIT	VE_TOTAL	VE_FORMS	MONTH	DAY	DAY_WEEKNAME	HOUR	MINUTE	HARM_EVNAME	MAN_COLL	MAN_COLLNAME	RELJCT2NAME	ROUTE	FUNC_SYS	FUNC_SYSNAME	RUR_URBNAME	TYP_INTNAME	REL_ROADNAME	WRK_ZONENAME	SCH_BUSNAME	LGT_CONDNAME	WEATHERNAME	FATALS	YEAR
144472	560112	Wyoming	1	0	1	1	11	29	Wednesday	7	40	Ditch	0	The First Harmful Event was Not a Collision with a Motor Vehicle in Transport	Non-Junction	3	5	Major Collector	Rural	Not an Intersection	On Roadside	<NA>	No	Daylight	Clear	1	2023
144473	560113	Wyoming	3	0	2	2	11	30	Thursday	6	47	Motor Vehicle In-Transport	6	Angle	Non-Junction	2	3	Other Principal Arterial	Rural	Not an Intersection	On Roadway	<NA>	No	Dawn	Clear	2	2023
144474	560114	Wyoming	1	0	1	1	12	2	Saturday	7	25	Post, Pole or Other Supports	0	The First Harmful Event was Not a Collision with a Motor Vehicle in Transport	Non-Junction	3	3	Other Principal Arterial	Urban	Not an Intersection	On Roadside	<NA>	No	Daylight	Clear	1	2023
144475	560115	Wyoming	1	1	1	1	12	17	Sunday	18	17	Pedalcyclist	0	The First Harmful Event was Not a Collision with a Motor Vehicle in Transport	Non-Junction	3	3	Other Principal Arterial	Urban	Not an Intersection	On Roadway	<NA>	No	Dark - Not Lighted	Clear	1	2023
144476	560116	Wyoming	2	1	1	1	12	21	Thursday	18	10	Pedestrian	0	The First Harmful Event was Not a Collision with a Motor Vehicle in Transport	Non-Junction	3	3	Other Principal Arterial	Urban	Not an Intersection	On Roadway	<NA>	No	Dark - Not Lighted	Clear	1	2023
144477	560117	Wyoming	6	0	5	5	12	23	Saturday	19	34	Motor Vehicle In-Transport	2	Front-to-Front	Non-Junction	3	3	Other Principal Arterial	Rural	Not an Intersection	On Roadway	<NA>	No	Dark - Not Lighted	Blowing Snow	1	2023
144478	560118	Wyoming	1	0	1	1	12	26	Tuesday	23	45	Rollover/Overturn	0	The First Harmful Event was Not a Collision with a Motor Vehicle in Transport	Non-Junction	2	3	Other Principal Arterial	Rural	Not an Intersection	On Roadside	<NA>	No	Dark - Not Lighted	Clear	1	2023
144479	560119	Wyoming	1	1	1	1	12	27	Wednesday	9	50	Pedestrian	0	The First Harmful Event was Not a Collision with a Motor Vehicle in Transport	Non-Junction	1	1	Interstate	Rural	Not an Intersection	On Roadway	<NA>	No	Daylight	Clear	1	2023
144480	560120	Wyoming	6	0	2	2	12	29	Friday	8	36	Motor Vehicle In-Transport	6	Angle	Non-Junction	2	3	Other Principal Arterial	Rural	Not an Intersection	On Roadway	<NA>	No	Daylight	Clear	1	2023
144481	560121	Wyoming	1	0	1	1	12	31	Sunday	15	2	Rollover/Overturn	0	The First Harmful Event was Not a Collision with a Motor Vehicle in Transport	Non-Junction	4	5	Major Collector	Rural	Not an Intersection	On Roadside	<NA>	No	Daylight	Clear	1	2023

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)